Regeneration of Normal Distributions Transform for Target Lattice Based on Fusion of Truncated Gaussian Components.

IEEE Robotics and Automation Letters(2019)

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摘要
In this letter, we propose a method that can be used to regenerate the 3-D normal distributions transform (NDT) for target lattice. When a pose is updated by simultaneous localization and mapping (SLAM), the lattice at the pose is also transformed. Given that NDT is a Gaussian mixture model generated by regular cells, the fusion of NDTs transformed with updated poses can distort the shapes of the ...
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关键词
Lattices,Gaussian distribution,Simultaneous localization and mapping,Fuses,Covariance matrices,Transforms
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